Morten Stigaard Laursen

Agricultural and Biological Sciences · Life Sciences

10h-index590citations44works0.02yr avg
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Research Topics

Smart Agriculture and AI(21), Remote Sensing in Agriculture(18), Remote Sensing and LiDAR Applications(10), Robotics and Sensor-Based Localization(5), Species Distribution and Climate Change(4)

Publications44 total

Point Cloud Segmentation of Agricultural Vehicles using 3D Gaussian Splatting
arXiv (Cornell University)·2025Open Access
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer
arXiv (Cornell University)·2025Open Access
Exploring the Limits: Applying State-of-the-Art Stereo Matching Algorithms to Rectified Ultra-Wide Stereo
2024Open Access
UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds
Remote Sensing·2022· 44 citedOpen Access
Sensing for Weed Detection
Progress in precision agriculture·2021· 5 cited
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks
Sensors·2020· 20 citedOpen Access
Initial evaluation of enriching satellite imagery using sparse proximal sensing in precision farming
2020· 1 cited
Open Plant Phenotype Database of Common Weeds in Denmark
Remote Sensing·2020· 71 citedOpen Access
Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV
2019· 4 cited
Species distribution mapping of grass clover leys using images for targeted nitrogen fertilization
2019· 2 cited
Overfitting a convolutional neural network to support annotations of weeds
2019· 9 cited
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture
2019· 62 cited
Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)
Precision Agriculture·2019· 13 cited
Preprocessed Sentinel-1 Data via a Web Service Focused on Agricultural Field Monitoring
IEEE Access·2019· 5 citedOpen Access
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing
arXiv (Cornell University)·2018Open Access
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing
2018· 2 cited
Untitled
arXiv (Cornell University)·2018Open Access
Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass
arXiv (Cornell University)·2018· 3 citedOpen Access
Designing and Testing a UAV Mapping System for Agricultural Field Surveying
Sensors·2017· 181 citedOpen Access
FieldSAFE: Dataset for Obstacle Detection in Agriculture
Sensors·2017· 72 citedOpen Access
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Frequent Co-authors

Rasmus Nyholm Jørgensen(37), Henrik Skov Midtiby(11), René Gislum(10), Martin Peter Christiansen(9), Søren Skovsen(8), Mads Dyrmann(8), Anders Krogh Mortensen(7), Kjeld Jensen(6), René Larsen(6), Henrik Karstoft(4), Svend Christensen(4), Simon Leminen Madsen(3), Jørgen Eriksen(3), Sadaf Farkhani(3), Thomas Mosgaard Giselsson(3), Jesper Rasmussen(3), Jon Nielsen(3), Norbert Krüger(3), Nima Teimouri(3), Birgitte Feld Mikkelsen(3)